作者: John Hourdos , Henry X Liu , Xinkai Wu , Panos G Michalopoulos
DOI:
关键词: Microsimulation 、 Simulation 、 Control logic 、 Metering mode 、 Traffic flow 、 Mathematical optimization 、 Software deployment 、 Field (computer science) 、 Twin cities 、 Traffic congestion 、 Engineering
摘要: Freeway ramp control has been successfully implemented since the mid-1960s, as an efficient and viable freeway management strategy. However, effectiveness of any strategy is largely dependent on optimum parameter values that are preferably determined prior to deployment. This certainly case with current Stratified Zone Metering (SZM) deployed in 260 miles network Minneapolis – St. Paul metropolitan area. In order improve performance SZM, which highly depends more than 20 parameters, this research first proposed a general methodology for site-specific optimization strategies using microscopic simulation environment, alternative trial-and-error field experimentation, SZM. The testing results show new SZM significantly improves system compared original Secondly, explore common whole Twin Cities system, replace have minor practical value because difficulties implementation amount time it takes search all sections. identified applying Response Surface Methodology (RSM) based four specifically selected sections, can represent types sections Minneapolis-St.